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BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

Overview of attention for article published in Genetics in Medicine, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,933)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
33 news outlets
blogs
6 blogs
twitter
98 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
92 Mendeley
Title
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Published in
Genetics in Medicine, January 2019
DOI 10.1038/s41436-018-0406-9
Pubmed ID
Authors

Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, Alex P. Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K. Schmidt, Fiona M. Walter, Nilanjan Chatterjee, Montserrat Garcia-Closas, Marc Tischkowitz, Paul Pharoah, Douglas F. Easton, Antonis C. Antoniou

Twitter Demographics

The data shown below were collected from the profiles of 98 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 28%
Student > Ph. D. Student 15 16%
Unspecified 13 14%
Student > Master 13 14%
Other 10 11%
Other 15 16%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Unspecified 20 22%
Biochemistry, Genetics and Molecular Biology 19 21%
Agricultural and Biological Sciences 13 14%
Computer Science 6 7%
Other 11 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 359. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2019.
All research outputs
#32,017
of 13,745,695 outputs
Outputs from Genetics in Medicine
#8
of 1,933 outputs
Outputs of similar age
#1,574
of 399,956 outputs
Outputs of similar age from Genetics in Medicine
#3
of 117 outputs
Altmetric has tracked 13,745,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.